caa a22 4500 44533228X CHVBK 20180317142741.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10198-010-0236-4 doi (NATIONALLICENCE)springer-10.1007/s10198-010-0236-4 Practical issues in handling data input and uncertainty in a budget impact analysis [Elektronische Daten] [M. Nuijten, T. Mittendorf, U. Persson] The objective of this paper was to address the importance of dealing systematically and comprehensively with uncertainty in a budget impact analysis (BIA) in more detail. The handling of uncertainty in health economics was used as a point of reference for addressing the uncertainty in a BIA. This overview shows that standard methods of sensitivity analysis, which are used for standard data set in a health economic model (clinical probabilities, treatment patterns, resource utilisation and prices/tariffs), cannot always be used for the input data for the BIA model beyond the health economic data set for various reasons. Whereas in a health economic model, only limited data may come from a Delphi panel, a BIA model often relies on a majority of data taken from a Delphi panel. In addition, the dataset in a BIA model also includes forecasts (e.g. annual growth, uptakes curves, substitution effects, changes in prescription restrictions and guidelines, future distribution of the available treatment modalities, off-label use). As a consequence, the use of standard sensitivity analyses for BIA data set might be limited because of the lack of appropriate distributions as data sources are limited, or because of the need for forecasting. Therefore, scenario analyses might be more appropriate to capture the uncertainty in the BIA data set in the overall BIA model. The Author(s), 2010 Budget impact nationallicence Model nationallicence Data source nationallicence Nuijten M. Institute for Medical Technology Assessment (IMTA), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands aut Mittendorf T. Centre for Health Economics, Leibniz University Hannover, Hannover, Germany aut Persson U. School of Economics and Management, Swedish Institute for Health Economics and Institute for Economic Research (IHE), Lund University, Lund, Sweden aut The European Journal of Health Economics Springer-Verlag 12/3(2011-06-01), 231-241 1618-7598 12:3<231 2011 12 10198 https://doi.org/10.1007/s10198-010-0236-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10198-010-0236-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nuijten M. Institute for Medical Technology Assessment (IMTA), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands aut NATIONALLICENCE 700 1- Mittendorf T. Centre for Health Economics, Leibniz University Hannover, Hannover, Germany aut NATIONALLICENCE 700 1- Persson U. School of Economics and Management, Swedish Institute for Health Economics and Institute for Economic Research (IHE), Lund University, Lund, Sweden aut NATIONALLICENCE 773 0- The European Journal of Health Economics Springer-Verlag 12/3(2011-06-01), 231-241 1618-7598 12:3<231 2011 12 10198 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer